De invloed van inkomst op het risico van diabetes#
# Import packages
import pandas as pd
import plotly.express as px
import seaborn as sns
import numpy as np
import matplotlib.pyplot as plt
import plotly.graph_objs as go
from plotly.subplots import make_subplots
from matplotlib.ticker import PercentFormatter
import warnings
warnings.filterwarnings('ignore')
studenten: Pepe Morselt (15239551), Marilène Oud (15247112), Paul Elsinghorst (15002608), Thimo de Wolff (15240428)
groep: M2
link to dataset3: https://www.kaggle.com/datasets/henryshan/sleep-health-and-lifestyle
Introductie#
Diabetes is een chronische ziekte die impact heeft op miljoenen mensen. Het lichaam kan glucose niet goed reguleren, wat kan leiden tot een te hoge bloedsuikerspiegel en, indien niet behandeld, schade aan verschillende organen.
Diabetes komt in twee vormen voor: diabetes type 1 en type 2. In deze datastory richten we ons voornamelijk op type 2, omdat er verschillende correlaties kunnen worden gevonden tussen factoren zoals levensstijl, voeding en gezondheid. Deze factoren beïnvloeden het ontstaan van diabetes type 2, in tegenstelling tot diabetes type 1, dat voornamelijk genetisch bepaald is. Door te onderzoeken naar hoe fysieke activiteit en omgevingsfactoren bijdragen aan deze aandoening bij mensen met verschillende inkomens, kunnen we nagaan of er een hogere of lagere kans is op het ontstaan van diabetes type 2 bij verschillende inkomensgroepen. Met deze datastory hopen we dit probleem te belichten zodat er effectievere preventie- en behandelstrategieën ontwikkeld kunnen worden die de levenskwaliteit verbeteren voor mensen met diabetes die financieel kwetsbaar zijn.
Onze perspectieven en argumenten zijn de volgende:
Het risico op het ontwikkelen van diabetes hangt sterk samen met het inkomen van een persoon, waardoor een individu met een lager inkomen meer kans heeft om diabetes te ontwikkelen.
Arg 1: Mensen met een lager inkomen ervaren vaak een beperkte toegang tot gezonde voeding, tijd voor fysieke activiteit en gezondheidszorg.
Arg 2: Mensen met een lager inkomen wonen in buurten met minder supermarkten die verse, niet bewerkte producten aanbieden en meer fastfoodrestaurants.
Arg 3: Goedkope etenswaren zijn vaak ongezond.
Arg 4: De prevalentie van diabetes type 2 is hoger in landen met een lager BBP per capita.
Het risico op diabets is niet uitsluitend afhankelijk van inkomen, maar van de beslissingen die individuen zelf nemen.
Dataset en Preprocessing#
df = pd.read_csv("diabetes_split.csv")
num_bins = 5
df['BMI_category'] = pd.qcut(df['BMI'], q=num_bins, labels=False, precision=0)
bin_labels = ['Underweight', 'Normal weight', 'Overweight', 'Moderately obese', 'Severely obese']
df['BMI_category'] = df['BMI_category'].map(lambda x: bin_labels[int(x)])
fig_1 = go.Figure(data=
go.Parcats(
dimensions=[
{'label': 'Diabetes', 'values': df['Diabetes_binary'].astype(str)},
{'label': 'BMI', 'values': df['BMI_category']}, # Use BMI categories here
{'label': 'Physical Activity', 'values': df['PhysActivity'].astype(str)},
{'label': 'Vegetables', 'values': df['Veggies'].astype(str)},
{'label': 'Any Healthcare', 'values': df['AnyHealthcare'].astype(str)},
{'label': 'General Health', 'values': df['GenHlth'].astype(str)},
{'label': 'Sex', 'values': df['Sex'].astype(str)}
],
line={'color': df['Diabetes_binary'], 'colorscale': [[0, 'blue'], [1.0, 'yellow']]}
)
)
fig_1.update_layout(title='Analysis of Diabetes Data across Various Factors')
fig_1.show()
#https://www.kaggle.com/datasets/mathchi/diabetes-data-set
df = pd.read_csv("diabetes.csv")
pd.set_option('display.max_columns', None)
df = df.rename(columns={'Outcome': 'diabetes'})
df.head(5)
| Pregnancies | Glucose | BloodPressure | SkinThickness | Insulin | BMI | DiabetesPedigreeFunction | Age | diabetes | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | 6 | 148 | 72 | 35 | 0 | 33.6 | 0.627 | 50 | 1 |
| 1 | 1 | 85 | 66 | 29 | 0 | 26.6 | 0.351 | 31 | 0 |
| 2 | 8 | 183 | 64 | 0 | 0 | 23.3 | 0.672 | 32 | 1 |
| 3 | 1 | 89 | 66 | 23 | 94 | 28.1 | 0.167 | 21 | 0 |
| 4 | 0 | 137 | 40 | 35 | 168 | 43.1 | 2.288 | 33 | 1 |
#https://www.kaggle.com/datasets/iammustafatz/diabetes-prediction-dataset
df2 = pd.read_csv("diabetes_prediction_dataset.csv")
pd.set_option('display.max_columns', None)
df2.head(5)
| gender | age | hypertension | heart_disease | smoking_history | bmi | HbA1c_level | blood_glucose_level | diabetes | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | Female | 80.0 | 0 | 1 | never | 25.19 | 6.6 | 140 | 0 |
| 1 | Female | 54.0 | 0 | 0 | No Info | 27.32 | 6.6 | 80 | 0 |
| 2 | Male | 28.0 | 0 | 0 | never | 27.32 | 5.7 | 158 | 0 |
| 3 | Female | 36.0 | 0 | 0 | current | 23.45 | 5.0 | 155 | 0 |
| 4 | Male | 76.0 | 1 | 1 | current | 20.14 | 4.8 | 155 | 0 |
df3 = pd.read_csv("ss.csv")
df3['BMI Category'] = df3['BMI Category'].replace('Normal Weight', 'Normal')
df3.head(5)
| Person ID | Gender | Age | Occupation | Sleep Duration | Quality of Sleep | Physical Activity Level | Stress Level | BMI Category | Blood Pressure | Heart Rate | Daily Steps | Sleep Disorder | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | Male | 27 | Software Engineer | 6.1 | 6 | 42 | 6 | Overweight | 126/83 | 77 | 4200 | NaN |
| 1 | 2 | Male | 28 | Doctor | 6.2 | 6 | 60 | 8 | Normal | 125/80 | 75 | 10000 | NaN |
| 2 | 3 | Male | 28 | Doctor | 6.2 | 6 | 60 | 8 | Normal | 125/80 | 75 | 10000 | NaN |
| 3 | 4 | Male | 28 | Sales Representative | 5.9 | 4 | 30 | 8 | Obese | 140/90 | 85 | 3000 | Sleep Apnea |
| 4 | 5 | Male | 28 | Sales Representative | 5.9 | 4 | 30 | 8 | Obese | 140/90 | 85 | 3000 | Sleep Apnea |
Observaties#
Er bestaat een correlatie tussen obese zijn en een hogere bloeddruk. De Mediaan gaat duidelijk omhoog met elke BMI categorie. De boxpolts zijn wat onduidelijk in de hogere categorïen. Volgens deze statistieken hebben vrouwen over het algemeen een lagere bloeddruk.
df2 = df2[df2['smoking_history'] != 'No Info']
diabetes_smoking_summary = df2.groupby(['diabetes', 'smoking_history']).size().unstack()
fig, axes = plt.subplots(1, 2, figsize=(14, 7))
for i, diabetes_category in enumerate(diabetes_smoking_summary.index):
axes[i].pie(diabetes_smoking_summary.loc[diabetes_category],
labels=diabetes_smoking_summary.columns,
autopct='%1.1f%%',
startangle=90)
axes[i].set_title(f'Diabetes: {diabetes_category}')
plt.suptitle('Distribution of Smoking History by Diabetes Status')
plt.show()
Observaties#
Deze gegevens zijn gefilterd zodat de gegevens waarvan we hun niet in het cirkeldiagram zijn geplaatst, wat tot een verkeerde visualisatie van de gegevens kan leiden.
Mensen met diabetes hebben vaker gerookt. We hebben echter nog niet ontdekt waarom dit het geval is.
import plotly.express as px
import pandas as pd
diab_prev = pd.read_csv('diabetes-prevalence.csv')
diab_prev['Year'] = pd.to_numeric(diab_prev['Year'])
diab_prev_sorted = diab_prev.sort_values(by='Year')
fig = px.choropleth(diab_prev_sorted,
locations='Code',
color='Diabetes prevalence (% of population ages 20 to 79)', # Column with data to plot
hover_name='Entity',
animation_frame='Year',
color_continuous_scale='YlOrRd',
projection='natural earth'
)
fig.update_layout(title='Diabetes Prevalence Worldwide',
geo=dict(showcoastlines=True,
showcountries=True),
height=600,
width=1000
)
fig.show()
df4 = pd.read_csv("weight_20_USA.csv")
df5 = pd.read_csv("Weight_children_USA.csv")
pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)
df4.head(1)
| INDICATOR | PANEL | PANEL_NUM | UNIT | UNIT_NUM | STUB_NAME | STUB_NAME_NUM | STUB_LABEL | STUB_LABEL_NUM | YEAR | YEAR_NUM | AGE | AGE_NUM | ESTIMATE | SE | FLAG | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Normal weight, overweight, and obesity among a... | Normal weight (BMI from 18.5 to 24.9) | 1 | Percent of population, age-adjusted | 1 | Total | 1 | 20 years and over | 1.1 | 1988-1994 | 1 | 20 years and over | 1.0 | 41.6 | 0.8 | NaN |
df5.head(1)
| INDICATOR | PANEL | PANEL_NUM | UNIT | UNIT_NUM | STUB_NAME | STUB_NAME_NUM | STUB_LABEL_NUM | STUB_LABEL | YEAR | YEAR_NUM | AGE | AGE_NUM | ESTIMATE | SE | FLAG | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Obesity among children and adolescents aged 2-... | 2-19 years | 1 | Percent of population, crude | 1 | Total | 0 | 0.0 | 2-19 years | 1988-1994 | 1 | 2-19 years | 0.0 | 10.0 | 0.5 | NaN |
def print_column_headers(dataset):
"""
Prints all the column headers of a pandas DataFrame.
Parameters:
dataset (pd.DataFrame): The dataset from which to print column headers.
"""
if not isinstance(dataset, pd.DataFrame):
raise TypeError("The input dataset must be a pandas DataFrame.")
print("Column Headers:")
for col in dataset.columns:
print(col)
print_column_headers(df4)
Column Headers:
INDICATOR
PANEL
PANEL_NUM
UNIT
UNIT_NUM
STUB_NAME
STUB_NAME_NUM
STUB_LABEL
STUB_LABEL_NUM
YEAR
YEAR_NUM
AGE
AGE_NUM
ESTIMATE
SE
FLAG
required_columns = ['YEAR', 'PANEL', 'ESTIMATE']
for col in required_columns:
if col not in df4.columns:
raise ValueError(f"Missing required column: {col}")
# Group by YEAR and PANEL (poverty level), and calculate the mean estimate (assuming ESTIMATE is the diabetes ratio)
diabetes_ratio = df4.groupby(['YEAR', 'PANEL'])['ESTIMATE'].mean().reset_index()
# Pivot the DataFrame to have years as rows and poverty levels as columns for easier plotting
pivot_table = diabetes_ratio.pivot(index='YEAR', columns='PANEL', values='ESTIMATE')
# Plot the data
plt.figure(figsize=(12, 6))
sns.lineplot(data=pivot_table, markers=True)
plt.title('Ratio of Diabetes per Poverty Level Over the Years')
plt.xlabel('Year')
plt.ylabel('Diabetes Ratio')
plt.legend(title='Poverty Level')
plt.show()
filtered_dataset = df4[df4['STUB_NAME'] == 'Total']
filtered_dataset = df5[df5['STUB_NAME'].isin(['Percent of poverty level'])]
filtered_recent = df5[df5['YEAR_NUM'] == 10]
filtered_recent_genders = filtered_recent[
(filtered_recent['STUB_LABEL'].isin(['Male', 'Female'])) |
(filtered_recent['STUB_NAME'] == 'Percent of poverty level')]
selected_col = ['INDICATOR', 'AGE', 'STUB_LABEL', 'ESTIMATE']
filtered_df = filtered_recent_genders[selected_col]
from matplotlib.ticker import PercentFormatter
filtered_df_2 = filtered_df[filtered_df['AGE'] != '2-19 years']
plt.figure(figsize=(14, 8))
sns.lineplot(data=filtered_df_2, x='AGE', y='ESTIMATE', hue='STUB_LABEL', markers=True, dashes=False)
plt.title('Childhood obesity per gender and household income in the USA')
plt.xlabel('Age')
plt.ylabel('Obesity percentage')
plt.legend(title='Legend for Labels')
plt.grid(True)
plt.gca().yaxis.set_major_formatter(PercentFormatter(xmax=100))
plt.show()
Perspectief 1#
Mensen met een lager inkomen hebben minder toegang tot gezonde voeding doordat gezonde voeding duurder is.#
try:
df7 = pd.read_csv("faps_access_puf.csv", encoding='latin-1')
df8 = pd.read_csv("faps_fahitem_puf.csv", encoding='latin-1')
df9 = pd.read_csv("faps_fafhitem_puf.csv", encoding='latin-1')
except UnicodeDecodeError as e:
print(f"UnicodeDecodeError: {e}")
df7.head(2)
| hhnum | infousa_flag | snap1 | snap2 | snap3 | snap4 | snap5 | snap6 | snap7 | snap8 | ss1 | ss2 | ss3 | ss4 | ss5 | ss6 | ss7 | ss8 | sm1 | sm2 | sm3 | sm4 | sm5 | sm6 | sm7 | sm8 | co1 | co2 | co3 | co4 | co5 | co6 | co7 | co8 | cs1 | cs2 | cs3 | cs4 | cs5 | cs6 | cs7 | cs8 | mlg1 | mlg2 | mlg3 | mlg4 | mlg5 | mlg6 | mlg7 | mlg8 | dist_ss | dist_sm | dist_co | dist_cs | dist_mlg | dist_walmart | nearsnap_placeid | nearsnap_stype | nearsnap_dist | nearsmss_placeid | nearsmss_stype | nearsmss_dist | ff1 | ff2 | ff3 | ff4 | ff5 | ff6 | ff7 | ff8 | nonff1 | nonff2 | nonff3 | nonff4 | nonff5 | nonff6 | nonff7 | nonff8 | nearff_sic1 | nearff_sic2 | nearff_dist | nearnonff_sic1 | nearnonff_sic2 | nearnonff_dist | nearmcd_sic1 | nearmcd_sic2 | nearmcd_dist | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 100012 | 1 | 0 | 4 | 9 | 16 | 19 | 22 | 37 | 188 | 0 | 0 | 1 | 2 | 2 | 2 | 3 | 13 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 14 | 0 | 1 | 5 | 5 | 7 | 8 | 14 | 67 | 0 | 0 | 0 | 4 | 5 | 7 | 12 | 62 | 0 | 2 | 2 | 3 | 3 | 3 | 6 | 11 | 0.90 | 0.33 | 0.34 | 1.03 | 0.33 | 0.9 | 1017721.0 | SM | 0.33 | 1017721.0 | SM | 0.33 | 0 | 1 | 10 | 11 | 12 | 12 | 14 | 77 | 0 | 4 | 15 | 21 | 26 | 26 | 36 | 222 | 581208 | 581206 | 0.30 | 581208 | 581208 | 0.3 | 581208 | 581206 | 0.527480 |
| 1 | 100015 | 1 | 1 | 6 | 18 | 43 | 52 | 80 | 118 | 512 | 0 | 0 | 1 | 2 | 2 | 3 | 5 | 21 | 0 | 0 | 0 | 3 | 5 | 6 | 9 | 41 | 0 | 1 | 4 | 12 | 14 | 20 | 27 | 141 | 0 | 3 | 10 | 15 | 17 | 30 | 43 | 182 | 0 | 0 | 0 | 3 | 3 | 7 | 10 | 36 | 0.94 | 1.05 | 0.32 | 0.26 | 1.16 | 1.7 | NaN | ME | 0.19 | 1160329.0 | SS | 0.94 | 1 | 1 | 2 | 15 | 16 | 22 | 28 | 39 | 2 | 4 | 16 | 35 | 43 | 60 | 75 | 113 | 581208 | 581206 | 0.21 | 581208 | 581208 | 0.2 | 581208 | 581206 | 1.546103 |
df8.head(2)
| hhnum | eventid | itemnum | itemdesc | itemdescsource | itemdesc_flag | barcode | barcodesource | upcreceiptmatch | iri | barcode_original | itemreportmethod | itemassignmethod | totgramsunadj | totgramsunadjimp | pkgsize | pkgsizeunit | fluidozgrams | eggsize | quantity | varwgtlbs | varwgtcount | pkgwtsource | totitemexp | totitemexpnocoupons | totstoresavings | coupons | totitemexp_flag | free | imputedexp | imputedvalue | imputemethod | scandate_flag | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 100012 | 65792 | 1 | NaN | 1 | 0 | 051933267503 | 1 | NaN | 1 | .V | 1 | 2 | 340.2 | NaN | 12.0 | OZ | NaN | NaN | 1 | NaN | NaN | 1.0 | 0.89 | 0.89 | 0.0 | 0.0 | 0 | 0.0 | -996.0 | -996.0 | -996 | 0 |
| 1 | 100012 | 65792 | 2 | NaN | 1 | 0 | 051933161825 | 1 | NaN | 3 | .V | 1 | 2 | NaN | NaN | NaN | NaN | 30.7 | NaN | 1 | NaN | NaN | NaN | 0.79 | 0.79 | 0.0 | 0.0 | 0 | 0.0 | -996.0 | -996.0 | -996 | 0 |
df9.head(2)
| hhnum | eventid | itemnum | bundlenum | bundletype | menugrp | nonschmealitem | itemdesc | itemdescsource | quantity | quantity_flag | size | size_flag | sizeunit | sizeunit_flag | sizerelative | gramstotal | additem_flag | itemcost | itemcost_flag | totitemcost | free | free_flag2 | impitemcost | impcostmethod | imptotcost | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 100012 | 65766 | 1 | NaN | NaN | TOP | -996.0 | Double Cheeseburger | 7 | 1.0 | 0 | NaN | 0 | NaN | 0 | NaN | 165.0 | 0 | 0.0 | 0 | 0.0 | 1 | 0 | NaN | -996 | NaN |
| 1 | 100012 | 65767 | 1 | NaN | NaN | BEV | -996.0 | REGULAR SODA, SPRITE, SIERRA MIST, MOUNTAIN DEW | 5 | 3.0 | 0 | 12.0 | 0 | OZ | 1 | NaN | 1108.8 | 0 | 0.5 | 0 | 1.5 | 0 | 0 | NaN | -996 | NaN |
which macronutriens are unhealty?#
Fats:
Fats consist of 3 main types; saturated fats, which can usually be found in dairy products, monounsaturated fats which can be found in nuts, seeds and oils, and polyunsaturated fats, which can be found in falxseeds, walnuts and fish.
Since saturated fats take less time to be stored or processed due to their relative simplicity and their tendency to raise LDL cholesterol (low-density lipoprotein), which can increase the risk of cardiovascular disease by clogging the arteries, they are generally regarded as the worst kind of fat.
Less than 5-6% of daily calorie intake should be saturated fat which is about 11-13 grams a day if you account for a 2000 kcal diet, so about 120 kcal. https://www.heart.org/en/healthy-living/healthy-eating/eat-smart/fats/saturated-fats
Carbohydrates:
Carbs consist of 3 main types; Sugars, Starches and Fibers.
Sugars are incomplex carbohydrates such as mono- and disaccharides which can be easily converted into glucose (which is a monosaccharid) and can then either be converted into fat for storage or be consumed for energy, an acces causes insulin to be released in the pancreas and convert these monosaccharides into fats.
Starches are longer chains of saccharides, they can be found in starchy foods such as beans and potatoes, these polysaccharides take longer to be converted into glucose so they provide sugars in a slower tempo and keep you filled for quite some time. So they are regarded as a healthy carbs.
Fibers promote gut health and are not digested because they are too complex. animals with multiple stomachs such as cows do eat these as a source of carbs.
Generally people shouldn’t consume more than 30 grams or about 125 kcal of monosaccharides per day.
https://www.heart.org/en/healthy-living/healthy-eating/eat-smart/sugar/how-much-sugar-is-too-much https://www.ncbi.nlm.nih.gov/books/NBK459280/
We will use these macronutriens to measure if a certain food is healthy or not. If a fooditem has more than 1/2 of the daily recommended intake of either sugars or saturated fat, or if the total amount of carbs per fooditem consists of more than 11.5% sugar it will be regarded as unhealthy. Fatty food will be regarded unhealthy if more than 20% of the total fat is saturated fat. variables: ‘hhnum’, ‘itemnum’, ‘usdadescmain’,
df10 = pd.read_csv("faps_fahnutrients.csv")
df10.head(50)
| hhnum | eventid | itemnum | foodcode | foodcodetype | codenot1112 | foodcodefped | foodcodeassignmethod | usdadescmain | usdadescadd | usdafoodcat1 | usdafoodcat2 | usdafoodcat4 | recodedfinal | foodgroup | foodcodempr | foodcodempr_flag | totgramsunadj | totgramsedible | totgramsunadjimp | totgramsedibleimp | dryweightcalc | fluidozgrams | eggsize | refuse | refuseedit | refusempr | refusesourcempr | d_total | d_cheese | d_milk | d_yogurt | f_total | f_citmlb | f_other | f_juice | g_total | g_refined | g_whole | pf_total | pf_mps_total | pf_meat | pf_poult | pf_seafd_hi | pf_seafd_low | pf_organ | pf_curedmeat | pf_eggs | pf_soy | pf_nutsds | pf_legumes | v_legumes | v_total | v_drkgr | v_redor_total | v_redor_tomato | v_redor_other | v_starchy_total | v_starchy_potato | v_starchy_other | v_other | oils | solid_fats | add_sugars | a_drinks | energy | carb | dietfiber | totsug | totfat | satfat | monofat | polyfat | protein | alcohol | caroalpha | carobeta | chol | caffeine | calcium | choline | copper | crypt | folacid | foldfe | folfood | foltot | iron | lutein | lycopene | magnes | niacin | phosp | potass | retinol | ribofl | selenium | sodium | theobrom | thiamin | vitarae | vitb6 | vitb12 | vitb12add | vitc | vitd | vite | viteadd | vitk | water | zinc | sfa40 | sfa60 | sfa80 | sfa100 | sfa120 | sfa140 | sfa160 | sfa180 | mfa161 | mfa181 | mfa201 | mfa221 | pfa182 | pfa183 | pfa184 | pfa204 | pfa205 | pfa225 | pfa226 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 100381 | 5897 | 1 | 11112110.0 | 1 | 0.0 | NaN | 3 | Milk, cow's, fluid, 2% fat | Hi-Protein milk; fortified milk; 1.5% fat milk... | 1.0 | 10.0 | 1004.0 | 0 | 40201 | NaN | 0.0 | 3904.0000 | 3904.000000 | NaN | NaN | 0 | 30.5 | NaN | NaN | 0 | NaN | NaN | 0.41 | 0.00 | 0.41 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 1.37 | 0.00 | 0.0 | 50.0 | 4.80 | 0.0 | 5.06 | 1.98 | 1.257 | 0.560 | 0.073 | 3.30 | 0.0 | 0.0 | 4.0 | 8.0 | 0.0 | 120.0 | 16.4 | 0.006 | 0.0 | 0.0 | 5.0 | 5.0 | 5.0 | 0.02 | 0.0 | 0.0 | 11.0 | 0.092 | 92.0 | 140.0 | 55.0 | 0.185 | 2.5 | 47.0 | 0.0 | 0.039 | 55.0 | 0.038 | 0.53 | 0.0 | 0.2 | 1.2 | 0.03 | 0.00 | 0.2 | 89.21 | 0.48 | 0.077 | 0.040 | 0.020 | 0.049 | 0.055 | 0.175 | 0.558 | 0.243 | 0.027 | 0.508 | 0.002 | 0.000 | 0.062 | 0.008 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 1 | 100381 | 5897 | 2 | 11112110.0 | 1 | 0.0 | NaN | 3 | Milk, cow's, fluid, 2% fat | Hi-Protein milk; fortified milk; 1.5% fat milk... | 1.0 | 10.0 | 1004.0 | 0 | 40201 | NaN | 0.0 | 3904.0000 | 3904.000000 | NaN | NaN | 0 | 30.5 | NaN | NaN | 0 | NaN | NaN | 0.41 | 0.00 | 0.41 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 1.37 | 0.00 | 0.0 | 50.0 | 4.80 | 0.0 | 5.06 | 1.98 | 1.257 | 0.560 | 0.073 | 3.30 | 0.0 | 0.0 | 4.0 | 8.0 | 0.0 | 120.0 | 16.4 | 0.006 | 0.0 | 0.0 | 5.0 | 5.0 | 5.0 | 0.02 | 0.0 | 0.0 | 11.0 | 0.092 | 92.0 | 140.0 | 55.0 | 0.185 | 2.5 | 47.0 | 0.0 | 0.039 | 55.0 | 0.038 | 0.53 | 0.0 | 0.2 | 1.2 | 0.03 | 0.00 | 0.2 | 89.21 | 0.48 | 0.077 | 0.040 | 0.020 | 0.049 | 0.055 | 0.175 | 0.558 | 0.243 | 0.027 | 0.508 | 0.002 | 0.000 | 0.062 | 0.008 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 2 | 100381 | 5897 | 3 | 75102000.0 | 1 | 0.0 | NaN | 6 | Beans, lima, raw | NaN | 6.0 | 64.0 | 6418.0 | 1 | 20102 | 11037.0 | 0.0 | 340.2000 | 340.200012 | NaN | NaN | 1 | NaN | NaN | NaN | 0 | NaN | NaN | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.65 | 0.00 | 0.00 | 0.0 | 0.00 | 0.65 | 0.0 | 0.65 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 113.0 | 20.17 | 4.9 | 1.48 | 0.86 | 0.198 | 0.050 | 0.419 | 6.84 | 0.0 | 0.0 | 126.0 | 0.0 | 0.0 | 34.0 | 40.0 | 0.318 | 0.0 | 0.0 | 34.0 | 34.0 | 34.0 | 3.14 | 0.0 | 0.0 | 58.0 | 1.474 | 136.0 | 467.0 | 0.0 | 0.103 | 1.8 | 8.0 | 0.0 | 0.217 | 10.0 | 0.204 | 0.00 | 0.0 | 23.4 | 0.0 | 0.32 | 0.00 | 5.6 | 70.24 | 0.78 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.002 | 0.173 | 0.022 | 0.000 | 0.050 | 0.000 | 0.000 | 0.283 | 0.136 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 3 | 100381 | 5897 | 4 | 75102000.0 | 1 | 0.0 | NaN | 6 | Beans, lima, raw | NaN | 6.0 | 64.0 | 6418.0 | 1 | 20102 | 11037.0 | 0.0 | 340.2000 | 340.200012 | NaN | NaN | 1 | NaN | NaN | NaN | 0 | NaN | NaN | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.65 | 0.00 | 0.00 | 0.0 | 0.00 | 0.65 | 0.0 | 0.65 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 113.0 | 20.17 | 4.9 | 1.48 | 0.86 | 0.198 | 0.050 | 0.419 | 6.84 | 0.0 | 0.0 | 126.0 | 0.0 | 0.0 | 34.0 | 40.0 | 0.318 | 0.0 | 0.0 | 34.0 | 34.0 | 34.0 | 3.14 | 0.0 | 0.0 | 58.0 | 1.474 | 136.0 | 467.0 | 0.0 | 0.103 | 1.8 | 8.0 | 0.0 | 0.217 | 10.0 | 0.204 | 0.00 | 0.0 | 23.4 | 0.0 | 0.32 | 0.00 | 5.6 | 70.24 | 0.78 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.002 | 0.173 | 0.022 | 0.000 | 0.050 | 0.000 | 0.000 | 0.283 | 0.136 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 4 | 100381 | 5897 | 5 | 75102000.0 | 1 | 0.0 | NaN | 6 | Beans, lima, raw | NaN | 6.0 | 64.0 | 6418.0 | 1 | 20102 | 11037.0 | 0.0 | 340.2000 | 340.200012 | NaN | NaN | 1 | NaN | NaN | NaN | 0 | NaN | NaN | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.65 | 0.00 | 0.00 | 0.0 | 0.00 | 0.65 | 0.0 | 0.65 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 113.0 | 20.17 | 4.9 | 1.48 | 0.86 | 0.198 | 0.050 | 0.419 | 6.84 | 0.0 | 0.0 | 126.0 | 0.0 | 0.0 | 34.0 | 40.0 | 0.318 | 0.0 | 0.0 | 34.0 | 34.0 | 34.0 | 3.14 | 0.0 | 0.0 | 58.0 | 1.474 | 136.0 | 467.0 | 0.0 | 0.103 | 1.8 | 8.0 | 0.0 | 0.217 | 10.0 | 0.204 | 0.00 | 0.0 | 23.4 | 0.0 | 0.32 | 0.00 | 5.6 | 70.24 | 0.78 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.002 | 0.173 | 0.022 | 0.000 | 0.050 | 0.000 | 0.000 | 0.283 | 0.136 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 5 | 100381 | 5897 | 6 | 63107010.0 | 1 | 0.0 | NaN | 3 | Banana, raw | NaN | 6.0 | 60.0 | 6004.0 | 0 | 30101 | NaN | 0.0 | 598.7388 | 383.192841 | NaN | NaN | 1 | NaN | NaN | 36.0 | 0 | 36.0 | 2.0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.67 | 0.00 | 0.67 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 89.0 | 22.84 | 2.6 | 12.23 | 0.33 | 0.112 | 0.032 | 0.073 | 1.09 | 0.0 | 25.0 | 26.0 | 0.0 | 0.0 | 5.0 | 9.8 | 0.078 | 0.0 | 0.0 | 20.0 | 20.0 | 20.0 | 0.26 | 22.0 | 0.0 | 27.0 | 0.665 | 22.0 | 358.0 | 0.0 | 0.073 | 1.0 | 1.0 | 0.0 | 0.031 | 3.0 | 0.367 | 0.00 | 0.0 | 8.7 | 0.0 | 0.10 | 0.00 | 0.5 | 74.91 | 0.15 | 0.000 | 0.000 | 0.000 | 0.001 | 0.002 | 0.002 | 0.102 | 0.005 | 0.010 | 0.022 | 0.000 | 0.000 | 0.046 | 0.027 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 6 | 100381 | 5897 | 7 | 11507.0 | 3 | 0.0 | NaN | 3 | Sweet potato, raw, unprepared | NaN | 6.0 | 64.0 | 6406.0 | 0 | 20401 | NaN | 0.0 | NaN | NaN | 650.0 | 468.0 | 1 | NaN | NaN | 0.0 | 1 | 28.0 | 2.0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.77 | 0.00 | 0.77 | 0.0 | 0.77 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 86.0 | 20.12 | 3.0 | 4.18 | 0.05 | 0.018 | 0.001 | 0.014 | 1.57 | 0.0 | 7.0 | 8509.0 | 0.0 | 0.0 | 30.0 | 12.3 | 0.151 | 0.0 | 0.0 | 11.0 | 11.0 | 11.0 | 0.61 | 0.0 | 0.0 | 25.0 | 0.557 | 47.0 | 337.0 | 0.0 | 0.061 | 0.6 | 55.0 | 0.0 | 0.078 | 709.0 | 0.209 | 0.00 | 0.0 | 2.4 | 0.0 | 0.26 | 0.00 | 1.8 | 77.28 | 0.30 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.018 | 0.001 | 0.000 | 0.001 | 0.000 | 0.000 | 0.013 | 0.001 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 7 | 100381 | 5897 | 8 | 63420110.0 | 1 | 0.0 | NaN | 6 | Fruit juice bar, frozen, flavor other than orange | Dole Fruit 'N Juice Bar; Frozfruit Bar; Popsic... | 5.0 | 58.0 | 5806.0 | 1 | 70407 | 13120100.0 | 0.0 | NaN | NaN | NaN | NaN | 0 | 29.8 | NaN | NaN | 0 | NaN | NaN | 0.00 | 0.00 | 0.00 | 0.00 | 0.12 | 0.00 | 0.02 | 0.10 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 0.00 | 2.85 | 0.0 | 87.0 | 20.20 | 1.0 | 17.48 | 0.10 | 0.000 | 0.000 | 0.030 | 1.20 | 0.0 | 0.0 | 11.0 | 0.0 | 0.0 | 5.0 | 4.0 | 0.000 | 0.0 | 0.0 | 7.0 | 7.0 | 7.0 | 0.19 | 34.0 | 0.0 | 4.0 | 0.159 | 6.0 | 53.0 | 0.0 | 0.018 | 0.2 | 4.0 | 0.0 | 0.011 | 1.0 | 0.025 | 0.00 | 0.0 | 9.5 | 0.0 | 0.00 | 0.00 | 0.9 | 78.30 | 0.05 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.022 | 0.008 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 8 | 100381 | 5897 | 9 | 75109600.0 | 1 | 0.0 | NaN | 3 | Corn, raw | NaN | 6.0 | 64.0 | 6416.0 | 0 | 20101 | NaN | 0.0 | NaN | NaN | 286.0 | 103.0 | 1 | NaN | NaN | 64.0 | 0 | 64.0 | 2.0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.67 | 0.00 | 0.00 | 0.0 | 0.00 | 0.67 | 0.0 | 0.67 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 86.0 | 18.70 | 2.0 | 6.26 | 1.35 | 0.325 | 0.432 | 0.487 | 3.27 | 0.0 | 16.0 | 47.0 | 0.0 | 0.0 | 2.0 | 23.0 | 0.054 | 115.0 | 0.0 | 42.0 | 42.0 | 42.0 | 0.52 | 644.0 | 0.0 | 37.0 | 1.770 | 89.0 | 270.0 | 0.0 | 0.055 | 0.6 | 15.0 | 0.0 | 0.155 | 9.0 | 0.093 | 0.00 | 0.0 | 6.8 | 0.0 | 0.07 | 0.00 | 0.3 | 76.05 | 0.46 | 0.000 | 0.000 | 0.000 | 0.003 | 0.001 | 0.001 | 0.262 | 0.045 | 0.004 | 0.419 | 0.006 | 0.000 | 0.472 | 0.014 | 0.000 | 0.001 | 0.000 | 0.000 | 0.000 |
| 9 | 100381 | 5897 | 10 | NaN | 0 | NaN | NaN | 0 | NaN | NaN | NaN | NaN | NaN | 0 | 99999 | NaN | 0.0 | NaN | NaN | NaN | NaN | 1 | NaN | NaN | NaN | 0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 10 | 100381 | 5897 | 11 | 63223020.0 | 1 | 0.0 | NaN | 3 | Strawberries, raw | strawberries, NS as to raw, cooked, canned, or... | 6.0 | 60.0 | 6010.0 | 0 | 30101 | NaN | 0.0 | 340.2000 | 319.787994 | NaN | NaN | 1 | NaN | NaN | 6.0 | 0 | 6.0 | 2.0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.69 | 0.69 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 32.0 | 7.68 | 2.0 | 4.89 | 0.30 | 0.015 | 0.043 | 0.155 | 0.67 | 0.0 | 0.0 | 7.0 | 0.0 | 0.0 | 16.0 | 5.7 | 0.048 | 0.0 | 0.0 | 24.0 | 24.0 | 24.0 | 0.41 | 26.0 | 0.0 | 13.0 | 0.386 | 24.0 | 153.0 | 0.0 | 0.022 | 0.4 | 1.0 | 0.0 | 0.024 | 1.0 | 0.047 | 0.00 | 0.0 | 58.8 | 0.0 | 0.29 | 0.00 | 2.2 | 90.95 | 0.14 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.012 | 0.003 | 0.001 | 0.042 | 0.000 | 0.000 | 0.090 | 0.065 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 11 | 100381 | 5897 | 12 | 23625.0 | 3 | 0.0 | NaN | 3 | Beef, top sirloin, steak, separable lean only,... | NaN | 2.0 | 20.0 | 2002.0 | 0 | 50101 | NaN | 0.0 | NaN | NaN | NaN | NaN | 1 | NaN | NaN | 17.0 | 0 | 17.0 | 2.0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 2.65 | 2.65 | 2.65 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 135.0 | 0.00 | 0.0 | 0.00 | 4.62 | 1.709 | 1.860 | 0.214 | 21.91 | 0.0 | 0.0 | 0.0 | 61.0 | 0.0 | 28.0 | 91.5 | 0.073 | 0.0 | 0.0 | 13.0 | 13.0 | 13.0 | 1.63 | 0.0 | 0.0 | 23.0 | 7.420 | 205.0 | 342.0 | 0.0 | 0.107 | 25.5 | 57.0 | 0.0 | 0.061 | 0.0 | 0.601 | 1.19 | 0.0 | 0.0 | 0.1 | 0.33 | 0.00 | 1.3 | 72.51 | 4.14 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.117 | 1.026 | 0.566 | 0.143 | 1.715 | 0.003 | 0.000 | 0.161 | 0.010 | 0.000 | 0.029 | 0.002 | 0.011 | 0.001 |
| 12 | 100381 | 5897 | 13 | 75117020.0 | 1 | 0.0 | NaN | 3 | Onions, mature, raw | red onions; onions, NFS | 6.0 | 64.0 | 6414.0 | 0 | 20601 | NaN | 0.0 | 961.6108 | 865.449707 | NaN | NaN | 1 | NaN | NaN | 10.0 | 0 | 10.0 | 2.0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.63 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.63 | 0.00 | 0.00 | 0.00 | 0.0 | 40.0 | 9.34 | 1.7 | 4.24 | 0.10 | 0.042 | 0.013 | 0.017 | 1.10 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 23.0 | 6.1 | 0.039 | 0.0 | 0.0 | 19.0 | 19.0 | 19.0 | 0.21 | 4.0 | 0.0 | 10.0 | 0.116 | 29.0 | 146.0 | 0.0 | 0.027 | 0.5 | 4.0 | 0.0 | 0.046 | 0.0 | 0.120 | 0.00 | 0.0 | 7.4 | 0.0 | 0.02 | 0.00 | 0.4 | 89.11 | 0.17 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.004 | 0.034 | 0.004 | 0.000 | 0.013 | 0.000 | 0.000 | 0.013 | 0.004 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 13 | 100381 | 5897 | 14 | 63107010.0 | 1 | 0.0 | NaN | 3 | Banana, raw | NaN | 6.0 | 60.0 | 6004.0 | 0 | 30101 | NaN | 0.0 | 598.7388 | 383.192841 | NaN | NaN | 1 | NaN | NaN | 36.0 | 0 | 36.0 | 2.0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.67 | 0.00 | 0.67 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 89.0 | 22.84 | 2.6 | 12.23 | 0.33 | 0.112 | 0.032 | 0.073 | 1.09 | 0.0 | 25.0 | 26.0 | 0.0 | 0.0 | 5.0 | 9.8 | 0.078 | 0.0 | 0.0 | 20.0 | 20.0 | 20.0 | 0.26 | 22.0 | 0.0 | 27.0 | 0.665 | 22.0 | 358.0 | 0.0 | 0.073 | 1.0 | 1.0 | 0.0 | 0.031 | 3.0 | 0.367 | 0.00 | 0.0 | 8.7 | 0.0 | 0.10 | 0.00 | 0.5 | 74.91 | 0.15 | 0.000 | 0.000 | 0.000 | 0.001 | 0.002 | 0.002 | 0.102 | 0.005 | 0.010 | 0.022 | 0.000 | 0.000 | 0.046 | 0.027 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 14 | 100381 | 5898 | 1 | 91705300.0 | 1 | 0.0 | NaN | 1 | Chocolate, sweet or dark | Special Dark; Dove Dark Chocolate bar; Hershey... | 5.0 | 57.0 | 5702.0 | 0 | 70403 | NaN | 0.0 | 124.7400 | 124.739998 | NaN | NaN | 1 | NaN | NaN | NaN | 0 | NaN | NaN | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 33.20 | 11.62 | 0.0 | 528.0 | 60.18 | 6.4 | 48.81 | 33.20 | 19.536 | 10.510 | 1.048 | 4.50 | 0.0 | 4.0 | 12.0 | 4.0 | 56.0 | 40.0 | 28.8 | 0.825 | 0.0 | 0.0 | 2.0 | 2.0 | 2.0 | 5.44 | 24.0 | 0.0 | 132.0 | 0.708 | 180.0 | 429.0 | 0.0 | 0.146 | 3.2 | 20.0 | 470.0 | 0.023 | 1.0 | 0.042 | 0.12 | 0.0 | 0.0 | 0.0 | 0.40 | 0.00 | 7.2 | 0.75 | 1.80 | 0.027 | 0.021 | 0.014 | 0.041 | 0.037 | 0.138 | 8.258 | 10.741 | 0.092 | 10.402 | 0.009 | 0.000 | 0.988 | 0.056 | 0.000 | 0.001 | 0.000 | 0.000 | 0.000 |
| 15 | 100381 | 5898 | 2 | 75117020.0 | 1 | 0.0 | NaN | 3 | Onions, mature, raw | red onions; onions, NFS | 6.0 | 64.0 | 6414.0 | 0 | 20601 | NaN | 0.0 | NaN | NaN | 300.0 | 270.0 | 1 | NaN | NaN | 10.0 | 0 | 10.0 | 2.0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.63 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.63 | 0.00 | 0.00 | 0.00 | 0.0 | 40.0 | 9.34 | 1.7 | 4.24 | 0.10 | 0.042 | 0.013 | 0.017 | 1.10 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 23.0 | 6.1 | 0.039 | 0.0 | 0.0 | 19.0 | 19.0 | 19.0 | 0.21 | 4.0 | 0.0 | 10.0 | 0.116 | 29.0 | 146.0 | 0.0 | 0.027 | 0.5 | 4.0 | 0.0 | 0.046 | 0.0 | 0.120 | 0.00 | 0.0 | 7.4 | 0.0 | 0.02 | 0.00 | 0.4 | 89.11 | 0.17 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.004 | 0.034 | 0.004 | 0.000 | 0.013 | 0.000 | 0.000 | 0.013 | 0.004 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 16 | 100381 | 5898 | 3 | 75117020.0 | 1 | 0.0 | NaN | 3 | Onions, mature, raw | red onions; onions, NFS | 6.0 | 64.0 | 6414.0 | 0 | 20601 | NaN | 0.0 | NaN | NaN | 300.0 | 270.0 | 1 | NaN | NaN | 10.0 | 0 | 10.0 | 2.0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.63 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.63 | 0.00 | 0.00 | 0.00 | 0.0 | 40.0 | 9.34 | 1.7 | 4.24 | 0.10 | 0.042 | 0.013 | 0.017 | 1.10 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 23.0 | 6.1 | 0.039 | 0.0 | 0.0 | 19.0 | 19.0 | 19.0 | 0.21 | 4.0 | 0.0 | 10.0 | 0.116 | 29.0 | 146.0 | 0.0 | 0.027 | 0.5 | 4.0 | 0.0 | 0.046 | 0.0 | 0.120 | 0.00 | 0.0 | 7.4 | 0.0 | 0.02 | 0.00 | 0.4 | 89.11 | 0.17 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.004 | 0.034 | 0.004 | 0.000 | 0.013 | 0.000 | 0.000 | 0.013 | 0.004 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 17 | 110265 | 5903 | 1 | 55301050.0 | 1 | 0.0 | NaN | 2 | French toast sticks, plain | NaN | 4.0 | 44.0 | 4404.0 | 0 | 60201 | NaN | 0.0 | 1474.2000 | 1474.199951 | NaN | NaN | 1 | NaN | NaN | NaN | 0 | NaN | NaN | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 1.88 | 1.88 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 17.43 | 0.00 | 2.04 | 0.0 | 340.0 | 41.21 | 1.4 | 9.89 | 17.74 | 3.989 | 9.502 | 2.566 | 6.00 | 0.0 | 0.0 | 3.0 | 0.0 | 0.0 | 53.0 | 13.9 | 0.085 | 0.0 | 41.0 | 212.0 | 142.0 | 183.0 | 1.92 | 4.0 | 0.0 | 19.0 | 2.575 | 87.0 | 111.0 | 0.0 | 0.175 | 12.2 | 400.0 | 0.0 | 0.284 | 0.0 | 0.053 | 0.00 | 0.0 | 0.0 | 0.0 | 0.88 | 0.00 | 14.5 | 33.57 | 0.51 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.007 | 1.961 | 1.892 | 0.031 | 9.406 | 0.065 | 0.000 | 2.421 | 0.145 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 18 | 110265 | 5903 | 2 | 54401080.0 | 1 | 0.0 | NaN | 1 | Salty snacks, corn or cornmeal base, tortilla ... | flavored or barbecue-flavored; Tostitos; Dorit... | 5.0 | 50.0 | 5004.0 | 0 | 70502 | NaN | 0.0 | 1360.8000 | 1360.800049 | NaN | NaN | 1 | NaN | NaN | NaN | 0 | NaN | NaN | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 4.94 | 4.94 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 20.00 | 0.00 | 0.00 | 0.0 | 473.0 | 67.52 | 5.7 | 0.80 | 20.84 | 3.127 | 6.208 | 9.838 | 7.04 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 104.0 | 19.4 | 0.094 | 1.0 | 0.0 | 12.0 | 12.0 | 12.0 | 1.56 | 4.0 | 0.0 | 81.0 | 0.891 | 215.0 | 180.0 | 0.0 | 0.071 | 5.2 | 325.0 | 0.0 | 0.146 | 0.0 | 0.203 | 0.36 | 0.0 | 0.0 | 0.0 | 3.97 | 0.00 | 20.9 | 2.80 | 1.36 | 0.000 | 0.000 | 0.009 | 0.011 | 0.004 | 0.035 | 2.504 | 0.403 | 0.035 | 6.077 | 0.085 | 0.002 | 9.473 | 0.345 | 0.005 | 0.005 | 0.002 | 0.000 | 0.000 |
| 19 | 110265 | 5903 | 3 | 41435000.0 | 1 | 1.0 | NaN | 1 | Fiber One Fulfill Bar | all flavors | 5.0 | 54.0 | 5404.0 | 0 | 70404 | NaN | 0.0 | 793.8000 | 793.799988 | NaN | NaN | 1 | NaN | NaN | NaN | 0 | NaN | NaN | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 1.80 | 0.12 | 1.68 | 2.40 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.4 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 7.73 | 1.65 | 5.16 | 0.0 | 425.0 | 55.67 | 17.8 | 26.67 | 15.56 | 1.836 | 6.852 | 4.493 | 15.56 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 44.0 | 32.7 | 0.461 | 0.0 | 333.0 | 567.0 | 0.0 | 333.0 | 4.00 | 46.0 | 0.0 | 178.0 | 8.889 | 222.0 | 403.0 | 499.0 | 0.756 | 23.3 | 378.0 | 0.0 | 0.333 | 499.0 | 0.667 | 2.00 | 0.0 | 13.3 | 0.0 | 2.55 | 0.00 | 7.1 | 11.18 | 3.33 | 0.000 | 0.000 | 0.003 | 0.000 | 0.000 | 0.008 | 1.514 | 0.310 | 0.005 | 6.663 | 0.183 | 0.000 | 4.477 | 0.015 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 20 | 110265 | 5903 | 4 | 92305000.0 | 1 | 0.0 | NaN | 6 | Tea, made from powdered instant, presweetened,... | NaN | 7.0 | 73.0 | 7304.0 | 1 | 70301 | 92307000.0 | 0.0 | 2103.5700 | 2103.570068 | NaN | NaN | 1 | NaN | NaN | NaN | 0 | NaN | NaN | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 0.00 | 1.68 | 0.0 | 30.0 | 7.31 | 0.1 | 7.07 | 0.05 | 0.007 | 0.002 | 0.016 | 0.01 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 3.0 | 0.1 | 0.010 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.02 | 0.0 | 0.0 | 1.0 | 0.009 | 0.0 | 13.0 | 0.0 | 0.000 | 0.0 | 4.0 | 0.0 | 0.001 | 0.0 | 0.001 | 0.00 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.0 | 92.50 | 0.01 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.006 | 0.000 | 0.000 | 0.002 | 0.000 | 0.000 | 0.011 | 0.005 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 21 | 110265 | 5903 | 5 | 92530610.0 | 1 | 0.0 | NaN | 3 | Fruit juice drink, with high vitamin C | Hi-C; Hawaiian Punch; Ssips; Apple & Eve juice... | 7.0 | 72.0 | 7204.0 | 0 | 70304 | NaN | 0.0 | 3955.2000 | 3955.199951 | NaN | NaN | 0 | 30.9 | NaN | NaN | 0 | NaN | NaN | 0.00 | 0.00 | 0.00 | 0.00 | 0.06 | 0.00 | 0.00 | 0.06 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 0.00 | 2.07 | 0.0 | 46.0 | 11.35 | 0.1 | 10.69 | 0.11 | 0.017 | 0.002 | 0.030 | 0.13 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 1.8 | 0.013 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.25 | 16.0 | 0.0 | 5.0 | 0.036 | 7.0 | 122.0 | 5.0 | 0.014 | 0.1 | 8.0 | 0.0 | 0.003 | 5.0 | 0.032 | 0.00 | 0.0 | 25.0 | 0.0 | 0.05 | 0.04 | 0.0 | 88.10 | 0.04 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.015 | 0.002 | 0.000 | 0.002 | 0.000 | 0.000 | 0.026 | 0.004 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 22 | 110265 | 5903 | 6 | 11830160.0 | 1 | 0.0 | NaN | 2 | Cocoa (or chocolate) flavored beverage powder ... | Hershey's Instant; Nestle's Quik | 1.0 | 14.0 | 1402.0 | 0 | 70401 | NaN | 0.0 | 1380.6450 | 1380.645020 | NaN | NaN | 1 | NaN | NaN | NaN | 0 | NaN | NaN | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 2.68 | 19.73 | 0.0 | 402.0 | 90.59 | 4.6 | 82.85 | 2.68 | 2.054 | 0.504 | 0.046 | 3.92 | 0.0 | 0.0 | 0.0 | 0.0 | 22.0 | 246.0 | 9.4 | 0.807 | 0.0 | 0.0 | 4.0 | 4.0 | 4.0 | 1.57 | 3.0 | 0.0 | 76.0 | 0.355 | 107.0 | 436.0 | 0.0 | 0.101 | 2.2 | 151.0 | 350.0 | 0.020 | 0.0 | 0.460 | 0.00 | 0.0 | 14.0 | 0.0 | 0.20 | 0.00 | 4.5 | 1.00 | 4.18 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.007 | 1.060 | 0.966 | 0.007 | 0.498 | 0.000 | 0.000 | 0.040 | 0.005 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 23 | 110265 | 5903 | 7 | 75503040.0 | 1 | 0.0 | NaN | 1 | Cucumber pickles, sweet | candied dill spears; semi-sweet; gherkin; brea... | 8.0 | 84.0 | 8408.0 | 0 | 20603 | NaN | 0.0 | 1814.4000 | 1814.400024 | NaN | NaN | 1 | NaN | NaN | NaN | 0 | NaN | NaN | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.54 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.54 | 0.00 | 0.00 | 4.07 | 0.0 | 91.0 | 21.15 | 1.0 | 18.27 | 0.41 | 0.067 | 0.004 | 0.106 | 0.58 | 0.0 | 81.0 | 325.0 | 0.0 | 0.0 | 61.0 | 3.1 | 0.028 | 186.0 | 0.0 | 1.0 | 1.0 | 1.0 | 0.25 | 170.0 | 0.0 | 7.0 | 0.115 | 18.0 | 100.0 | 0.0 | 0.030 | 0.0 | 457.0 | 0.0 | 0.025 | 38.0 | 0.024 | 0.00 | 0.0 | 0.7 | 0.0 | 0.36 | 0.00 | 47.1 | 76.20 | 0.12 | 0.000 | 0.000 | 0.000 | 0.000 | 0.002 | 0.002 | 0.056 | 0.006 | 0.000 | 0.004 | 0.000 | 0.000 | 0.046 | 0.060 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 24 | 110265 | 5903 | 8 | 75114000.0 | 1 | 0.0 | NaN | 6 | Mixed salad greens, raw | NaN | 6.0 | 64.0 | 6410.0 | 1 | 60101 | 75143000.0 | 0.0 | 1360.8000 | 1360.800049 | NaN | NaN | 1 | NaN | NaN | NaN | 0 | NaN | NaN | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.16 | 0.98 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.18 | 0.00 | 0.00 | 0.00 | 0.0 | 17.0 | 3.22 | 2.0 | 0.92 | 0.24 | 0.038 | 0.008 | 0.114 | 1.52 | 0.0 | 1.0 | 3379.0 | 0.0 | 0.0 | 48.0 | 13.3 | 0.066 | 0.0 | 0.0 | 108.0 | 108.0 | 108.0 | 1.16 | 3303.0 | 0.0 | 26.0 | 0.387 | 31.0 | 291.0 | 0.0 | 0.087 | 0.5 | 29.0 | 0.0 | 0.068 | 282.0 | 0.084 | 0.00 | 0.0 | 10.1 | 0.0 | 0.60 | 0.00 | 193.4 | 94.08 | 0.38 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.003 | 0.032 | 0.003 | 0.002 | 0.005 | 0.000 | 0.000 | 0.039 | 0.075 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 25 | 110265 | 5903 | 9 | 31101010.0 | 1 | 0.0 | NaN | 1 | Egg, whole, raw | NaN | 2.0 | 25.0 | 2502.0 | 0 | 50601 | NaN | 0.0 | 1800.0000 | 1584.000000 | NaN | NaN | 1 | NaN | 50.0 | 12.0 | 0 | 12.0 | 2.0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 2.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 4.25 | 0.00 | 0.0 | 143.0 | 0.72 | 0.0 | 0.37 | 9.51 | 3.126 | 3.658 | 1.911 | 12.56 | 0.0 | 0.0 | 0.0 | 372.0 | 0.0 | 56.0 | 293.8 | 0.072 | 9.0 | 0.0 | 47.0 | 47.0 | 47.0 | 1.75 | 503.0 | 0.0 | 12.0 | 0.075 | 198.0 | 138.0 | 160.0 | 0.457 | 30.7 | 142.0 | 0.0 | 0.040 | 160.0 | 0.170 | 0.89 | 0.0 | 0.0 | 2.0 | 1.05 | 0.00 | 0.3 | 76.15 | 1.29 | 0.004 | 0.000 | 0.004 | 0.006 | 0.000 | 0.033 | 2.231 | 0.811 | 0.201 | 3.411 | 0.027 | 0.000 | 1.555 | 0.048 | 0.000 | 0.188 | 0.000 | 0.007 | 0.058 |
| 26 | 110265 | 5903 | 10 | 41435000.0 | 1 | 1.0 | NaN | 1 | Fiber One Fulfill Bar | all flavors | 5.0 | 54.0 | 5404.0 | 0 | 70404 | NaN | 0.0 | 793.8000 | 793.799988 | NaN | NaN | 1 | NaN | NaN | NaN | 0 | NaN | NaN | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 1.80 | 0.12 | 1.68 | 2.40 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.4 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 7.73 | 1.65 | 5.16 | 0.0 | 425.0 | 55.67 | 17.8 | 26.67 | 15.56 | 1.836 | 6.852 | 4.493 | 15.56 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 44.0 | 32.7 | 0.461 | 0.0 | 333.0 | 567.0 | 0.0 | 333.0 | 4.00 | 46.0 | 0.0 | 178.0 | 8.889 | 222.0 | 403.0 | 499.0 | 0.756 | 23.3 | 378.0 | 0.0 | 0.333 | 499.0 | 0.667 | 2.00 | 0.0 | 13.3 | 0.0 | 2.55 | 0.00 | 7.1 | 11.18 | 3.33 | 0.000 | 0.000 | 0.003 | 0.000 | 0.000 | 0.008 | 1.514 | 0.310 | 0.005 | 6.663 | 0.183 | 0.000 | 4.477 | 0.015 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 27 | 110265 | 5903 | 11 | 92512110.0 | 1 | 0.0 | NaN | 3 | Margarita mix, nonalcoholic | Lemix | 7.0 | 72.0 | 7204.0 | 0 | 70304 | NaN | 0.0 | 1977.6000 | 1977.599976 | NaN | NaN | 0 | 30.9 | NaN | NaN | 0 | NaN | NaN | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 0.00 | 5.10 | 0.0 | 87.0 | 21.40 | 0.0 | 21.40 | 0.10 | 0.008 | 0.002 | 0.020 | 0.10 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.9 | 0.000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.11 | 0.0 | 0.0 | 1.0 | 0.000 | 6.0 | 28.0 | 0.0 | 0.010 | 0.4 | 102.0 | 0.0 | 0.013 | 0.0 | 0.000 | 0.00 | 0.0 | 2.7 | 0.0 | 0.00 | 0.00 | 0.0 | 78.20 | 0.07 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.008 | 0.000 | 0.000 | 0.002 | 0.000 | 0.000 | 0.013 | 0.005 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 28 | 110265 | 5903 | 12 | 51108010.0 | 1 | 0.0 | NaN | 2 | Focaccia, Italian flatbread, plain | Parmalat Focaccia; Boboli pizza crust; focacci... | 4.0 | 42.0 | 4202.0 | 0 | 10201 | NaN | 0.0 | 368.5500 | 368.549988 | NaN | NaN | 1 | NaN | NaN | NaN | 0 | NaN | NaN | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 3.06 | 3.06 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 7.50 | 0.00 | 0.26 | 0.0 | 249.0 | 35.82 | 1.8 | 1.75 | 7.89 | 0.877 | 5.670 | 0.994 | 8.77 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 35.0 | 2.9 | 0.091 | 0.0 | 54.0 | 175.0 | 84.0 | 138.0 | 3.16 | 42.0 | 0.0 | 20.0 | 3.670 | 128.0 | 114.0 | 0.0 | 0.301 | 15.9 | 561.0 | 0.0 | 0.470 | 0.0 | 0.113 | 0.00 | 0.0 | 0.0 | 0.0 | 1.42 | 0.00 | 5.7 | 45.91 | 1.33 | 0.000 | 0.000 | 0.000 | 0.000 | 0.001 | 0.001 | 0.723 | 0.120 | 0.138 | 5.495 | 0.024 | 0.000 | 0.923 | 0.072 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 29 | 110265 | 5903 | 13 | 63101000.0 | 1 | 0.0 | NaN | 3 | Apple, raw | NaN | 6.0 | 60.0 | 6002.0 | 0 | 30101 | NaN | 0.0 | 223.0000 | 200.699997 | NaN | NaN | 1 | NaN | NaN | 10.0 | 0 | 10.0 | 2.0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.91 | 0.00 | 0.91 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 52.0 | 13.81 | 2.4 | 10.39 | 0.17 | 0.028 | 0.007 | 0.051 | 0.26 | 0.0 | 0.0 | 27.0 | 0.0 | 0.0 | 6.0 | 3.4 | 0.027 | 11.0 | 0.0 | 3.0 | 3.0 | 3.0 | 0.12 | 29.0 | 0.0 | 5.0 | 0.091 | 11.0 | 107.0 | 0.0 | 0.026 | 0.0 | 1.0 | 0.0 | 0.017 | 3.0 | 0.041 | 0.00 | 0.0 | 4.6 | 0.0 | 0.18 | 0.00 | 2.2 | 85.56 | 0.04 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.001 | 0.024 | 0.003 | 0.000 | 0.007 | 0.000 | 0.000 | 0.043 | 0.009 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 30 | 110265 | 5903 | 14 | 63101000.0 | 1 | 0.0 | NaN | 3 | Apple, raw | NaN | 6.0 | 60.0 | 6002.0 | 0 | 30101 | NaN | 0.0 | 223.0000 | 200.699997 | NaN | NaN | 1 | NaN | NaN | 10.0 | 0 | 10.0 | 2.0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.91 | 0.00 | 0.91 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 52.0 | 13.81 | 2.4 | 10.39 | 0.17 | 0.028 | 0.007 | 0.051 | 0.26 | 0.0 | 0.0 | 27.0 | 0.0 | 0.0 | 6.0 | 3.4 | 0.027 | 11.0 | 0.0 | 3.0 | 3.0 | 3.0 | 0.12 | 29.0 | 0.0 | 5.0 | 0.091 | 11.0 | 107.0 | 0.0 | 0.026 | 0.0 | 1.0 | 0.0 | 0.017 | 3.0 | 0.041 | 0.00 | 0.0 | 4.6 | 0.0 | 0.18 | 0.00 | 2.2 | 85.56 | 0.04 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.001 | 0.024 | 0.003 | 0.000 | 0.007 | 0.000 | 0.000 | 0.043 | 0.009 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 31 | 110265 | 5903 | 15 | 20099.0 | 3 | 0.0 | NaN | 2 | Macaroni, dry, enriched | NaN | 4.0 | 40.0 | 4004.0 | 0 | 10202 | NaN | 0.0 | 2721.6000 | 2721.600098 | NaN | NaN | 1 | NaN | NaN | NaN | 0 | NaN | NaN | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 3.53 | 3.53 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 371.0 | 74.67 | 3.2 | 2.67 | 1.51 | 0.277 | 0.171 | 0.564 | 13.04 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 21.0 | 15.1 | 0.289 | 0.0 | 219.0 | 391.0 | 18.0 | 237.0 | 3.30 | 18.0 | 0.0 | 53.0 | 7.177 | 189.0 | 223.0 | 0.0 | 0.400 | 63.2 | 6.0 | 0.0 | 0.891 | 0.0 | 0.142 | 0.00 | 0.0 | 0.0 | 0.0 | 0.11 | 0.00 | 0.1 | 9.90 | 1.41 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.251 | 0.025 | 0.000 | 0.171 | 0.000 | 0.000 | 0.540 | 0.024 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 32 | 103790 | 5907 | 1 | 91102010.0 | 1 | 0.0 | NaN | 3 | Sugar, brown | NaN | 8.0 | 88.0 | 8802.0 | 0 | 70401 | NaN | 0.0 | 907.1800 | 907.179993 | NaN | NaN | 1 | NaN | NaN | NaN | 0 | NaN | NaN | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 0.00 | 23.10 | 0.0 | 380.0 | 98.09 | 0.0 | 97.02 | 0.00 | 0.000 | 0.000 | 0.000 | 0.12 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 83.0 | 2.3 | 0.047 | 0.0 | 0.0 | 1.0 | 1.0 | 1.0 | 0.71 | 0.0 | 0.0 | 9.0 | 0.110 | 4.0 | 133.0 | 0.0 | 0.000 | 1.2 | 28.0 | 0.0 | 0.000 | 0.0 | 0.041 | 0.00 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.0 | 1.34 | 0.03 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 33 | 103790 | 5907 | 2 | 92530510.0 | 1 | 0.0 | NaN | 4 | Cranberry juice drink or cocktail, with high v... | cranberry juice, NFS; Ocean Spray cranberry co... | 7.0 | 72.0 | 7204.0 | 0 | 70304 | NaN | 0.0 | NaN | NaN | NaN | NaN | 0 | 31.6 | NaN | NaN | 0 | NaN | NaN | 0.00 | 0.00 | 0.00 | 0.00 | 0.06 | 0.00 | 0.00 | 0.06 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 0.00 | 2.35 | 0.0 | 54.0 | 13.52 | 0.0 | 11.87 | 0.10 | 0.009 | 0.019 | 0.059 | 0.00 | 0.0 | 0.0 | 5.0 | 0.0 | 0.0 | 3.0 | 1.1 | 0.010 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.10 | 13.0 | 0.0 | 1.0 | 0.041 | 1.0 | 14.0 | 0.0 | 0.000 | 0.2 | 2.0 | 0.0 | 0.000 | 0.0 | 0.000 | 0.00 | 0.0 | 42.3 | 0.0 | 0.22 | 0.00 | 1.0 | 86.17 | 0.03 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.007 | 0.002 | 0.001 | 0.019 | 0.000 | 0.000 | 0.035 | 0.023 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 34 | 103790 | 5907 | 3 | 82104000.0 | 1 | 0.0 | NaN | 1 | Olive oil | NaN | 8.0 | 80.0 | 8012.0 | 0 | 70101 | NaN | 0.0 | 459.0000 | 459.000000 | NaN | NaN | 0 | 27.0 | NaN | NaN | 0 | NaN | NaN | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 100.00 | 0.00 | 0.00 | 0.0 | 884.0 | 0.00 | 0.0 | 0.00 | 100.00 | 13.808 | 72.961 | 10.523 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.3 | 0.000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.56 | 0.0 | 0.0 | 0.0 | 0.000 | 0.0 | 1.0 | 0.0 | 0.000 | 0.0 | 2.0 | 0.0 | 0.000 | 0.0 | 0.000 | 0.00 | 0.0 | 0.0 | 0.0 | 14.35 | 0.00 | 60.2 | 0.00 | 0.00 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 11.290 | 1.953 | 1.255 | 71.269 | 0.311 | 0.000 | 9.762 | 0.761 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 35 | 103790 | 5907 | 4 | 31101010.0 | 1 | 0.0 | NaN | 1 | Egg, whole, raw | NaN | 2.0 | 25.0 | 2502.0 | 0 | 50601 | NaN | 0.0 | 900.0000 | 792.000000 | NaN | NaN | 1 | NaN | 50.0 | 12.0 | 0 | 12.0 | 2.0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 2.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 4.25 | 0.00 | 0.0 | 143.0 | 0.72 | 0.0 | 0.37 | 9.51 | 3.126 | 3.658 | 1.911 | 12.56 | 0.0 | 0.0 | 0.0 | 372.0 | 0.0 | 56.0 | 293.8 | 0.072 | 9.0 | 0.0 | 47.0 | 47.0 | 47.0 | 1.75 | 503.0 | 0.0 | 12.0 | 0.075 | 198.0 | 138.0 | 160.0 | 0.457 | 30.7 | 142.0 | 0.0 | 0.040 | 160.0 | 0.170 | 0.89 | 0.0 | 0.0 | 2.0 | 1.05 | 0.00 | 0.3 | 76.15 | 1.29 | 0.004 | 0.000 | 0.004 | 0.006 | 0.000 | 0.033 | 2.231 | 0.811 | 0.201 | 3.411 | 0.027 | 0.000 | 1.555 | 0.048 | 0.000 | 0.188 | 0.000 | 0.007 | 0.058 |
| 36 | 115676 | 5910 | 1 | 10949.0 | 3 | 0.0 | NaN | 2 | Pork, fresh, enhanced, loin, top loin (chops),... | NaN | 2.0 | 20.0 | 2006.0 | 0 | 50101 | NaN | 0.0 | 567.0000 | 510.299988 | NaN | NaN | 1 | NaN | NaN | 10.0 | 0 | 10.0 | 2.0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 2.65 | 2.65 | 2.65 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 171.0 | 0.00 | 0.0 | 0.00 | 10.26 | 2.530 | 5.801 | 1.925 | 19.45 | 0.0 | 0.0 | 0.0 | 56.0 | 0.0 | 9.0 | 53.0 | 0.049 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.42 | 0.0 | 0.0 | 21.0 | 7.178 | 244.0 | 489.0 | 0.0 | 0.195 | 42.8 | 251.0 | 0.0 | 0.475 | 0.0 | 0.467 | 0.56 | 0.0 | 0.0 | 0.3 | 0.20 | 0.00 | 0.0 | 68.65 | 1.22 | 0.000 | 0.000 | 0.000 | 0.006 | 0.006 | 0.090 | 1.553 | 0.843 | 0.103 | 5.588 | 0.100 | 0.001 | 1.749 | 0.078 | 0.000 | 0.075 | 0.000 | 0.004 | 0.000 |
| 37 | 115676 | 5910 | 2 | 31101010.0 | 1 | 0.0 | NaN | 1 | Egg, whole, raw | NaN | 2.0 | 25.0 | 2502.0 | 0 | 50601 | NaN | 0.0 | 600.0000 | 528.000000 | NaN | NaN | 1 | NaN | 50.0 | 12.0 | 0 | 12.0 | 2.0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 2.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 4.25 | 0.00 | 0.0 | 143.0 | 0.72 | 0.0 | 0.37 | 9.51 | 3.126 | 3.658 | 1.911 | 12.56 | 0.0 | 0.0 | 0.0 | 372.0 | 0.0 | 56.0 | 293.8 | 0.072 | 9.0 | 0.0 | 47.0 | 47.0 | 47.0 | 1.75 | 503.0 | 0.0 | 12.0 | 0.075 | 198.0 | 138.0 | 160.0 | 0.457 | 30.7 | 142.0 | 0.0 | 0.040 | 160.0 | 0.170 | 0.89 | 0.0 | 0.0 | 2.0 | 1.05 | 0.00 | 0.3 | 76.15 | 1.29 | 0.004 | 0.000 | 0.004 | 0.006 | 0.000 | 0.033 | 2.231 | 0.811 | 0.201 | 3.411 | 0.027 | 0.000 | 1.555 | 0.048 | 0.000 | 0.188 | 0.000 | 0.007 | 0.058 |
| 38 | 115676 | 5910 | 3 | 5100.0 | 3 | 0.0 | NaN | 2 | Chicken, broilers or fryers, wing, meat and sk... | NaN | 2.0 | 22.0 | 2202.0 | 0 | 50202 | NaN | 0.0 | 1814.4000 | 979.776001 | NaN | NaN | 1 | NaN | NaN | 46.0 | 0 | 46.0 | 2.0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 2.42 | 2.42 | 0.00 | 2.42 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 6.49 | 0.00 | 0.0 | 191.0 | 0.00 | 0.0 | 0.00 | 13.16 | 4.061 | 6.228 | 2.868 | 17.52 | 0.0 | 0.0 | 0.0 | 111.0 | 0.0 | 11.0 | 82.0 | 0.034 | 0.0 | 0.0 | 7.0 | 7.0 | 7.0 | 0.46 | 0.0 | 0.0 | 16.0 | 5.697 | 123.0 | 187.0 | 9.0 | 0.103 | 17.6 | 84.0 | 0.0 | 0.054 | 9.0 | 0.528 | 0.25 | 0.0 | 0.0 | 0.1 | 0.64 | 0.00 | 3.8 | 69.19 | 1.21 | 0.000 | 0.000 | 0.000 | 0.006 | 0.007 | 0.079 | 3.156 | 0.758 | 0.882 | 5.221 | 0.083 | 0.002 | 2.557 | 0.130 | 0.003 | 0.082 | 0.004 | 0.010 | 0.006 |
| 39 | 115676 | 5910 | 4 | 92410550.0 | 1 | 0.0 | NaN | 1 | Soft drink, fruit flavored, caffeine containing | Mellow Yellow; Mountain Dew; Big Red; 7-Up Gol... | 7.0 | 72.0 | 7202.0 | 0 | 70304 | NaN | 0.0 | 4435.2000 | 4435.200195 | NaN | NaN | 0 | 30.8 | NaN | NaN | 0 | NaN | NaN | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 0.00 | 2.14 | 0.0 | 37.0 | 9.56 | 0.0 | 8.97 | 0.02 | 0.000 | 0.000 | 0.000 | 0.07 | 0.0 | 0.0 | 0.0 | 0.0 | 8.0 | 2.0 | 0.3 | 0.001 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.11 | 0.0 | 0.0 | 0.0 | 0.000 | 10.0 | 2.0 | 0.0 | 0.000 | 0.1 | 4.0 | 0.0 | 0.000 | 0.0 | 0.000 | 0.00 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.0 | 90.31 | 0.02 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 40 | 115676 | 5910 | 5 | 11432000.0 | 1 | 0.0 | NaN | 1 | Yogurt, fruit variety, lowfat milk | Kissle; custard style; Dannon Lowfat Yogurt Fr... | 1.0 | 18.0 | 1804.0 | 0 | 40203 | NaN | 0.0 | 680.4000 | 680.400024 | NaN | NaN | 1 | NaN | NaN | NaN | 0 | NaN | NaN | 0.33 | 0.00 | 0.00 | 0.33 | 0.04 | 0.04 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 0.47 | 2.87 | 0.0 | 102.0 | 19.05 | 0.0 | 19.05 | 1.08 | 0.697 | 0.297 | 0.031 | 4.37 | 0.0 | 0.0 | 2.0 | 4.0 | 0.0 | 152.0 | 14.0 | 0.080 | 0.0 | 0.0 | 9.0 | 9.0 | 9.0 | 0.07 | 0.0 | 0.0 | 15.0 | 0.095 | 119.0 | 195.0 | 10.0 | 0.178 | 3.1 | 58.0 | 0.0 | 0.037 | 10.0 | 0.040 | 0.47 | 0.0 | 0.7 | 0.6 | 0.02 | 0.00 | 0.1 | 74.48 | 0.74 | 0.032 | 0.022 | 0.014 | 0.031 | 0.037 | 0.114 | 0.294 | 0.105 | 0.024 | 0.247 | 0.000 | 0.000 | 0.022 | 0.009 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 41 | 115676 | 5910 | 6 | 11432000.0 | 1 | 0.0 | NaN | 1 | Yogurt, fruit variety, lowfat milk | Kissle; custard style; Dannon Lowfat Yogurt Fr... | 1.0 | 18.0 | 1804.0 | 0 | 40203 | NaN | 0.0 | 680.4000 | 680.400024 | NaN | NaN | 1 | NaN | NaN | NaN | 0 | NaN | NaN | 0.33 | 0.00 | 0.00 | 0.33 | 0.04 | 0.04 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 0.47 | 2.87 | 0.0 | 102.0 | 19.05 | 0.0 | 19.05 | 1.08 | 0.697 | 0.297 | 0.031 | 4.37 | 0.0 | 0.0 | 2.0 | 4.0 | 0.0 | 152.0 | 14.0 | 0.080 | 0.0 | 0.0 | 9.0 | 9.0 | 9.0 | 0.07 | 0.0 | 0.0 | 15.0 | 0.095 | 119.0 | 195.0 | 10.0 | 0.178 | 3.1 | 58.0 | 0.0 | 0.037 | 10.0 | 0.040 | 0.47 | 0.0 | 0.7 | 0.6 | 0.02 | 0.00 | 0.1 | 74.48 | 0.74 | 0.032 | 0.022 | 0.014 | 0.031 | 0.037 | 0.114 | 0.294 | 0.105 | 0.024 | 0.247 | 0.000 | 0.000 | 0.022 | 0.009 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 42 | 115676 | 5910 | 7 | 22959.0 | 3 | 0.0 | NaN | 1 | Macaroni and cheese dinner with dry sauce mix,... | NaN | 3.0 | 32.0 | 3206.0 | 0 | 60401 | NaN | 0.0 | 340.2000 | 340.200012 | NaN | NaN | 1 | NaN | NaN | NaN | 0 | NaN | NaN | 0.28 | 0.28 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 2.47 | 2.47 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 4.62 | 0.00 | 0.0 | 379.0 | 70.12 | 3.2 | 9.61 | 4.82 | 1.151 | 0.665 | 0.813 | 13.86 | 0.0 | 0.0 | 5.0 | 7.0 | 0.0 | 146.0 | 36.0 | 0.193 | 0.0 | 187.0 | 334.0 | 17.0 | 204.0 | 2.75 | 15.0 | 0.0 | 49.0 | 3.882 | 331.0 | 347.0 | 17.0 | 0.626 | 47.5 | 680.0 | 0.0 | 1.040 | 18.0 | 0.142 | 0.77 | 0.0 | 0.7 | 0.0 | 0.13 | 0.00 | 0.2 | 8.05 | 1.23 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.164 | 0.770 | 0.217 | 0.000 | 0.665 | 0.000 | 0.000 | 0.813 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 43 | 115676 | 5910 | 8 | 75511010.0 | 1 | 0.0 | NaN | 1 | Hot pepper sauce | Tabasco sauce; Lousianna Hot Sauce; | 8.0 | 84.0 | 8406.0 | 0 | 70201 | NaN | 0.0 | 340.2000 | 340.200012 | NaN | NaN | 1 | NaN | NaN | NaN | 0 | NaN | NaN | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.25 | 0.00 | 0.25 | 0.0 | 0.25 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 12.0 | 0.80 | 0.6 | 0.13 | 0.76 | 0.106 | 0.061 | 0.401 | 1.29 | 0.0 | 62.0 | 919.0 | 0.0 | 0.0 | 12.0 | 0.0 | 0.075 | 68.0 | 1.0 | 2.0 | 0.0 | 1.0 | 1.16 | 10.0 | 0.0 | 12.0 | 0.178 | 23.0 | 128.0 | 0.0 | 0.084 | 0.5 | 633.0 | 0.0 | 0.032 | 82.0 | 0.154 | 0.00 | 0.0 | 4.5 | 0.0 | 0.01 | 0.00 | 0.2 | 95.17 | 0.16 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.002 | 0.090 | 0.014 | 0.002 | 0.058 | 0.000 | 0.000 | 0.398 | 0.003 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 44 | 115676 | 5910 | 9 | 57125000.0 | 1 | 0.0 | NaN | 2 | Cinnamon Toast Crunch | NaN | 4.0 | 46.0 | 4602.0 | 0 | 10103 | NaN | 0.0 | 602.4375 | 602.437500 | NaN | NaN | 1 | NaN | NaN | NaN | 0 | NaN | NaN | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 2.07 | 0.71 | 1.36 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 8.00 | 0.00 | 6.87 | 0.0 | 410.0 | 79.01 | 5.2 | 29.70 | 10.10 | 1.100 | 6.590 | 2.200 | 5.27 | 0.0 | 0.0 | 3.0 | 0.0 | 0.0 | 286.0 | 9.4 | 0.169 | 2.0 | 267.0 | 472.0 | 19.0 | 286.0 | 12.89 | 77.0 | 0.0 | 42.0 | 23.825 | 160.0 | 172.0 | 426.0 | 1.200 | 6.9 | 580.0 | 0.0 | 1.100 | 427.0 | 1.420 | 4.30 | 4.3 | 17.1 | 2.9 | 2.01 | 0.00 | 7.8 | 2.64 | 10.69 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.002 | 0.751 | 0.242 | 0.024 | 6.427 | 0.136 | 0.000 | 1.602 | 0.595 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 45 | 115676 | 5910 | 10 | 92301060.0 | 1 | 0.0 | NaN | 2 | Tea, NS as to type, presweetened with sugar | lemon- or other fruit-flavored; Arizona Iced T... | 7.0 | 73.0 | 7304.0 | 0 | 70301 | NaN | 0.0 | 6002.8800 | 6002.879883 | NaN | NaN | 0 | 29.6 | NaN | NaN | 0 | NaN | NaN | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 0.00 | 1.92 | 0.0 | 32.0 | 8.35 | 0.0 | 8.07 | 0.00 | 0.002 | 0.001 | 0.004 | 0.01 | 0.0 | 0.0 | 0.0 | 0.0 | 15.0 | 0.0 | 0.4 | 0.010 | 0.0 | 0.0 | 4.0 | 4.0 | 4.0 | 0.02 | 0.0 | 0.0 | 3.0 | 0.003 | 1.0 | 32.0 | 0.0 | 0.013 | 0.0 | 3.0 | 1.0 | 0.000 | 0.0 | 0.000 | 0.00 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.0 | 91.63 | 0.02 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.001 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.001 | 0.002 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 46 | 115676 | 5910 | 11 | 92307500.0 | 1 | 0.0 | NaN | 6 | Half and Half beverage, half iced tea and half... | NaN | 7.0 | 73.0 | 7304.0 | 1 | 70304 | 92301130.0 | 0.0 | 3788.8000 | 3788.800049 | NaN | NaN | 0 | 29.6 | NaN | NaN | 0 | NaN | NaN | 0.00 | 0.00 | 0.00 | 0.00 | 0.02 | 0.00 | 0.00 | 0.02 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 0.00 | 2.26 | 0.0 | 39.0 | 10.04 | 0.0 | 9.64 | 0.02 | 0.003 | 0.001 | 0.007 | 0.02 | 0.0 | 0.0 | 0.0 | 0.0 | 9.0 | 2.0 | 0.5 | 0.011 | 1.0 | 0.0 | 3.0 | 3.0 | 3.0 | 0.02 | 1.0 | 0.0 | 2.0 | 0.012 | 1.0 | 23.0 | 0.0 | 0.009 | 0.1 | 4.0 | 1.0 | 0.002 | 0.0 | 0.003 | 0.00 | 0.0 | 1.5 | 0.0 | 0.01 | 0.00 | 0.0 | 89.86 | 0.02 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.002 | 0.000 | 0.000 | 0.001 | 0.000 | 0.000 | 0.004 | 0.003 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 47 | 115676 | 5910 | 12 | 94100100.0 | 1 | 0.0 | NaN | 2 | Water, bottled, unsweetened | plain; flavored; spring water, nonsparkling or... | 7.0 | 77.0 | 7704.0 | 0 | 70306 | NaN | 0.0 | 24011.5200 | 24011.519531 | NaN | NaN | 0 | 29.6 | NaN | NaN | 0 | NaN | NaN | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.0 | 0.00 | 0.0 | 0.00 | 0.00 | 0.000 | 0.000 | 0.000 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 10.0 | 0.0 | 0.007 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.0 | 0.0 | 2.0 | 0.000 | 0.0 | 0.0 | 0.0 | 0.000 | 0.0 | 2.0 | 0.0 | 0.000 | 0.0 | 0.000 | 0.00 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.0 | 99.98 | 0.00 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 48 | 115676 | 5910 | 13 | 24198700.0 | 1 | 0.0 | NaN | 2 | Chicken patty, fillet, or tenders, breaded, co... | Weaver Chicken Breast Tenders; Tyson Breaded C... | 2.0 | 22.0 | 2204.0 | 0 | 60201 | NaN | 0.0 | 1134.0000 | 1134.000000 | NaN | NaN | 1 | NaN | NaN | NaN | 0 | NaN | NaN | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 1.25 | 1.25 | 0.00 | 2.12 | 2.12 | 0.00 | 2.12 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 11.50 | 0.00 | 0.00 | 0.0 | 250.0 | 18.47 | 2.5 | 1.24 | 13.81 | 2.390 | 4.124 | 6.150 | 13.03 | 0.0 | 0.0 | 9.0 | 26.0 | 0.0 | 48.0 | 46.2 | 0.170 | 7.0 | 7.0 | 33.0 | 20.0 | 28.0 | 1.11 | 44.0 | 0.0 | 41.0 | 4.161 | 205.0 | 349.0 | 4.0 | 0.067 | 16.7 | 483.0 | 0.0 | 0.154 | 6.0 | 0.250 | 0.18 | 0.0 | 0.1 | 0.1 | 2.75 | 0.00 | 5.6 | 52.52 | 0.76 | 0.000 | 0.000 | 0.004 | 0.005 | 0.003 | 0.022 | 1.871 | 0.387 | 0.198 | 3.852 | 0.059 | 0.002 | 5.897 | 0.196 | 0.001 | 0.024 | 0.000 | 0.003 | 0.002 |
| 49 | 115676 | 5910 | 14 | 23612.0 | 3 | 0.0 | NaN | 3 | Beef, chuck, arm pot roast, separable lean onl... | NaN | 2.0 | 20.0 | 2002.0 | 0 | 50101 | NaN | 0.0 | 1020.6000 | 642.978027 | NaN | NaN | 1 | NaN | NaN | 37.0 | 0 | 37.0 | 2.0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 2.65 | 2.65 | 2.65 | 0.00 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 139.0 | 0.00 | 0.0 | 0.00 | 5.05 | 1.875 | 2.119 | 0.232 | 21.96 | 0.0 | 0.0 | 0.0 | 65.0 | 0.0 | 15.0 | 91.7 | 0.091 | 0.0 | 0.0 | 13.0 | 13.0 | 13.0 | 2.02 | 0.0 | 0.0 | 23.0 | 5.221 | 201.0 | 332.0 | 0.0 | 0.168 | 24.5 | 74.0 | 0.0 | 0.077 | 0.0 | 0.489 | 2.11 | 0.0 | 0.0 | 0.1 | 0.29 | 0.00 | 1.2 | 72.51 | 5.48 | 0.000 | 0.000 | 0.000 | 0.000 | 0.004 | 0.133 | 1.121 | 0.616 | 0.184 | 1.931 | 0.004 | 0.000 | 0.176 | 0.017 | 0.000 | 0.026 | 0.002 | 0.011 | 0.001 |
Mensen met een lager inkomen doen minder vaak aan sport buiten werk#
df6 = pd.read_csv('diabetes_split.csv')
df6.head(5)
| Diabetes_binary | BMI | Smoker | PhysActivity | Fruits | Veggies | AnyHealthcare | NoDocbcCost | GenHlth | PhysHlth | Sex | Age | Education | Income | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0.0 | 26.0 | 0.0 | 1.0 | 0.0 | 1.0 | 1.0 | 0.0 | 3.0 | 30.0 | 1.0 | 4.0 | 6.0 | 8.0 |
| 1 | 0.0 | 26.0 | 1.0 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 3.0 | 0.0 | 1.0 | 12.0 | 6.0 | 8.0 |
| 2 | 0.0 | 26.0 | 0.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 1.0 | 10.0 | 1.0 | 13.0 | 6.0 | 8.0 |
| 3 | 0.0 | 28.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 3.0 | 3.0 | 1.0 | 11.0 | 6.0 | 8.0 |
| 4 | 0.0 | 29.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 2.0 | 0.0 | 0.0 | 8.0 | 5.0 | 8.0 |
df6['PhysActivity'] = df6['PhysActivity'].astype(int)
# Map the values to their respective labels
df6['PhysActivity'] = df6['PhysActivity'].map({0: 'No Physical Activity', 1: 'Physical Activity'})
# Fill NaN values in PhysActivity column with a placeholder (if any)
df6['PhysActivity'] = df6['PhysActivity'].fillna('Unknown')
# Filter DataFrame for PhysActivity == 'Physical Activity' (1) and PhysActivity == 'No Physical Activity' (0)
df_active = df6[df6['PhysActivity'] == 'Physical Activity']
df_inactive = df6[df6['PhysActivity'] == 'No Physical Activity']
# Calculate proportions within the DataFrame for each subset
df_active['Proportion'] = df_active.groupby(['Age', 'Income'])['PhysActivity'].transform('size') / len(df_active)
df_inactive['Proportion'] = df_inactive.groupby(['Age', 'Income'])['PhysActivity'].transform('size') / len(df_inactive)
# Create Bubble Plot for Physical Activity
fig1 = px.scatter(
df_active,
x='Age',
y='Income',
size='Proportion',
color='PhysActivity',
hover_name='PhysActivity',
size_max=30,
title='Bubble Plot: Income by Age and Physical Activity (Physical Activity)',
labels={
'Age': 'Age',
'Income': 'Income',
'Proportion': 'Proportion of Total Values',
'PhysActivity': 'Physical Activity'
},
template='plotly_white'
)
fig1.update_layout(
xaxis=dict(
title='Age',
tickvals=list(range(1, 14)),
ticktext=list(range(1, 14))
),
yaxis=dict(
title='Income',
tickvals=list(range(1, 9)),
ticktext=list(range(1, 9))
),
height=600
)
# Create Bubble Plot for No Physical Activity
fig2 = px.scatter(
df_inactive,
x='Age',
y='Income',
size='Proportion',
color='PhysActivity',
hover_name='PhysActivity',
size_max=30,
title='Bubble Plot: Income by Age and Physical Activity (No Physical Activity)',
labels={
'Age': 'Age',
'Income': 'Income',
'Proportion': 'Proportion of Total Values',
'PhysActivity': 'Physical Activity'
},
template='plotly_white'
)
fig2.update_layout(
xaxis=dict(
title='Age',
tickvals=list(range(1, 14)),
ticktext=list(range(1, 14))
),
yaxis=dict(
title='Income',
tickvals=list(range(1, 9)),
ticktext=list(range(1, 9))
),
height=600
)
# Show the figures
fig1.show()
fig2.show()
Reflection#
Van onze TA en medestudenten uit groep M kregen we feedback op onze draft tijdens een werkcollege 2 weken geleden. Wij presenteerden eerst ons werk, en kregen vervolgens feedback op de layout, visualisaties en argumenten. Hieronder staan de tips en feedback die wij hebben gekregen en ook gebruikt bij het schrijven van onze eindversie van de datastory:
De layout en het lettertype aanpassen om de datastory visueel prettig te maken.
Meer tekst schrijven bij de visualisaties.
Verder hebben we nagedacht over xxxxxx